Method and apparatus for identifying structural deformation
METHOD AND APPARATUS FOR IDENTIFYING STRUCTURAL DEFORMATION A method and apparatus for identifying deformation of a structure (108). Training deformation data (142) is identified for each training case in a plurality of training cases (136). Training strain data (144) is identified for each training...
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| creator | GORDON III, CLARENCE L URCIA JR., MANNY SALAZAR DAVIS, CHRISTOPHER LEE KEARNS, JUSTIN D |
| description | METHOD AND APPARATUS FOR IDENTIFYING STRUCTURAL DEFORMATION A method and apparatus for identifying deformation of a structure (108). Training deformation data (142) is identified for each training case in a plurality of training cases (136). Training strain data (144) is identified for each training case in the plurality of training cases (136). The training deformation data (142) and the training strain data (144) are configured for use by a heuristic model (104) to increase an accuracy of output data generated by the heuristic model (104). A group of parameters (121) for the heuristic model (104) is adjusted using the training deformation data (142) and the training strain data (144) for the each training case in the plurality of training cases (136) such that the heuristic model (104) is trained to generate estimated deformation data (124) for the structure (108) based on input strain data (126). The estimated deformation data (124) has a desired level of accuracy. TRAIN A HEURISTIC MODEL TO GENERATE ESTIMATED 700 DEFORMATION DATA FOR A STRUCTURE WITH A DESIRED LEVEL OF ACCURACY BASED ON INPUT STRAIN DATA FOR THE STRUCTURE 702 IDENTIFY STRAIN DATA GENERATED BY A SENSOR SYSTEM ASSOCIATED WITH THE STRUCTURE DURING OPERATION OF THE PLATFORM GENERATE ESTIMATED DEFORMATION DATA FOR THE 704 STRUCTURE DURING OPERATION OF THE PLATFORM BASED ON THE STRAIN DATA GENERATED BY THE SENSOR SYSTEM ADJUST A GROUP OF CONTROL PARAMETERS FOR THE STRUCTURE USING THE ESTIMATED DEFORMATION DATA FOR 706 THE STRUCTURE TO INCREASE A PERFORMANCE OF THE STRUCTURE TO A DESIRED LEVEL OF PERFORMANCE ( END 800 IDENTIFY TRAINING DEFORMATION DATA FOR EACH TRAINING CASE IN A PLURALITY OF TRAINING CASES 802 IDENTIFY TRAINING STRAIN DATA FOR EACH TRAINING CASE IN THE PLURALITY OF TRAINING CASES ADJUST A GROUP OF PARAMETERS FOR THE HEURISTIC MODEL USING THE TRAINING DEFORMATION DATA AND THE TRAINING STRAIN DATA FOR EACH CASE IN THE PLURALITY 804 OF TRAINING CASES SUCH THAT THE HEURISTIC MODEL IS TRAINED TO GENERATE ESTIMATED DEFORMATION DATA FOR THE STRUCTURE WITH A DESIRED LEVEL OF ACCURACY BASED ON INPUT STRAIN DATA FOR THE STRUCTURE 900 SELECT A TRAINING CASE FROM FIG. 9 A PLURALITY OF TRAINING CASES DEFORM THE STRUCTURE SUCH 902 THAT THE STRUCTURE HAS THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE IDENTIFY TRAINING DEFORMATION 904 DATA FOR THE STRUCTURE HAVING THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE IDENTIFY TRAINING STRAIN DATA 906 FOR THE STRUCTURE HAVIN |
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| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_AU2013200171A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>AU2013200171A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_AU2013200171A13</originalsourceid><addsrcrecordid>eNrjZLD2TS3JyE9RSMwD4oKCxKLEktJihbT8IoXMlNS8ksy0ysy8dIXikqLS5JLSosQchZRUoGRuYklmfh4PA2taYk5xKi-U5mZQdnMNcfbQTS3Ij08tLkhMTs1LLYl3DDUyMDQ2MjAwNDd0NDQmThUAq9Iwyw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method and apparatus for identifying structural deformation</title><source>esp@cenet</source><creator>GORDON III, CLARENCE L ; URCIA JR., MANNY SALAZAR ; DAVIS, CHRISTOPHER LEE ; KEARNS, JUSTIN D</creator><creatorcontrib>GORDON III, CLARENCE L ; URCIA JR., MANNY SALAZAR ; DAVIS, CHRISTOPHER LEE ; KEARNS, JUSTIN D</creatorcontrib><description>METHOD AND APPARATUS FOR IDENTIFYING STRUCTURAL DEFORMATION A method and apparatus for identifying deformation of a structure (108). Training deformation data (142) is identified for each training case in a plurality of training cases (136). Training strain data (144) is identified for each training case in the plurality of training cases (136). The training deformation data (142) and the training strain data (144) are configured for use by a heuristic model (104) to increase an accuracy of output data generated by the heuristic model (104). A group of parameters (121) for the heuristic model (104) is adjusted using the training deformation data (142) and the training strain data (144) for the each training case in the plurality of training cases (136) such that the heuristic model (104) is trained to generate estimated deformation data (124) for the structure (108) based on input strain data (126). The estimated deformation data (124) has a desired level of accuracy. TRAIN A HEURISTIC MODEL TO GENERATE ESTIMATED 700 DEFORMATION DATA FOR A STRUCTURE WITH A DESIRED LEVEL OF ACCURACY BASED ON INPUT STRAIN DATA FOR THE STRUCTURE 702 IDENTIFY STRAIN DATA GENERATED BY A SENSOR SYSTEM ASSOCIATED WITH THE STRUCTURE DURING OPERATION OF THE PLATFORM GENERATE ESTIMATED DEFORMATION DATA FOR THE 704 STRUCTURE DURING OPERATION OF THE PLATFORM BASED ON THE STRAIN DATA GENERATED BY THE SENSOR SYSTEM ADJUST A GROUP OF CONTROL PARAMETERS FOR THE STRUCTURE USING THE ESTIMATED DEFORMATION DATA FOR 706 THE STRUCTURE TO INCREASE A PERFORMANCE OF THE STRUCTURE TO A DESIRED LEVEL OF PERFORMANCE ( END 800 IDENTIFY TRAINING DEFORMATION DATA FOR EACH TRAINING CASE IN A PLURALITY OF TRAINING CASES 802 IDENTIFY TRAINING STRAIN DATA FOR EACH TRAINING CASE IN THE PLURALITY OF TRAINING CASES ADJUST A GROUP OF PARAMETERS FOR THE HEURISTIC MODEL USING THE TRAINING DEFORMATION DATA AND THE TRAINING STRAIN DATA FOR EACH CASE IN THE PLURALITY 804 OF TRAINING CASES SUCH THAT THE HEURISTIC MODEL IS TRAINED TO GENERATE ESTIMATED DEFORMATION DATA FOR THE STRUCTURE WITH A DESIRED LEVEL OF ACCURACY BASED ON INPUT STRAIN DATA FOR THE STRUCTURE 900 SELECT A TRAINING CASE FROM FIG. 9 A PLURALITY OF TRAINING CASES DEFORM THE STRUCTURE SUCH 902 THAT THE STRUCTURE HAS THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE IDENTIFY TRAINING DEFORMATION 904 DATA FOR THE STRUCTURE HAVING THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE IDENTIFY TRAINING STRAIN DATA 906 FOR THE STRUCTURE HAVING THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE 908 SELECT ONE COMBINATION OF 908 STRAIN MEASUREMENTS FROM STORE THE SELECTED COMBINATION THE TRAINING STRAIN DATA OF STRAIN MEASUREMENTS, THE CORRESPONDING USE THE SELECTED COMBINATION COMBINATION OF DEFORMATION OF STRAIN MEASUREMENTS AND A MEASUREMENTS, AND THE VALUES CORRESPONDING COMBINATION OF FOR THE GROUP OF PARAMETERS 910 DEFORMATION MEASUREMENTS IN THE TRAINING DEFORMATION DATA TO TRAIN THE HEURISTIC MODEL ARE afUNPROCESSED YES INPUT THE SELECTED COMBINATIONS OF STRAIN COMBINATION OF STRAIN MEASUREMENTS 912-/ MEASUREMENTS INTO THE PRESENT? HEURISTIC MODEL TO GENERATE 920 ESTIMATED DEFORMATION DATA NO THE ESTIMATED ADDITIONAL DEFORMATION DATA YES TRAINING CASES PRESENT YES HAVE A DESIRED LEVEL IN THE PLURALITY OF ACCURACY OF TRAINING 914 ? CASES? ADJUST THE GROUP OF PARAMETERS NO FOR THE HEURISTIC MODEL 916 END IDENTIFY THE ESTIMATED DEFORMATION DATA GENERATED BY 1000 THE HEURISTIC MODEL BASED ON EACH SELECTED COMBINATION OF STRAIN MEASUREMENTS FOR EACH TRAINING CASE IN THE PLURALITY OF TRAINING CASES FOR THE HEURISTIC MODEL USE THE ESTIMATED DEFORMATION DATA GENERATED BASED ON 1002 EACH SELECTED COMBINATION OF STRAIN MEASUREMENTS FOR EACH TRAINING CASE IN THE PLURALITY OF TRAINING CASES TO ADJUST A GROUP OF CONTROL PARAMETERS FOR THE STRWCTURE IDENTIFY THE COMBINATION OF STRAIN MEASUREMENTS WITH THE MINIMUM NUMBER OF STRAIN MEASUREMENTS NEEDED FOR THE HEURISTIC MODEL TO GENERATE ESTIMATED DEFORMATION DATA 1004 FOR THE STRUCTURE WITH THE LEVEL OF ACCURACY NEEDED TO PROVIDE A DESIRED LEVEL OF PERFORMANCE FOR THE STRUCTURE WHEN THE ESTIMATED DEFORMATION DATA IS USED TO ADJUST THE GROUP OF CONTROL PARAMETERS FOR THE STRUCTURE ( END10</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; MEASURING ; MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER,MECHANICAL EFFICIENCY, OR FLUID PRESSURE ; PHYSICS ; TESTING</subject><creationdate>2013</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20130926&DB=EPODOC&CC=AU&NR=2013200171A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20130926&DB=EPODOC&CC=AU&NR=2013200171A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GORDON III, CLARENCE L</creatorcontrib><creatorcontrib>URCIA JR., MANNY SALAZAR</creatorcontrib><creatorcontrib>DAVIS, CHRISTOPHER LEE</creatorcontrib><creatorcontrib>KEARNS, JUSTIN D</creatorcontrib><title>Method and apparatus for identifying structural deformation</title><description>METHOD AND APPARATUS FOR IDENTIFYING STRUCTURAL DEFORMATION A method and apparatus for identifying deformation of a structure (108). Training deformation data (142) is identified for each training case in a plurality of training cases (136). Training strain data (144) is identified for each training case in the plurality of training cases (136). The training deformation data (142) and the training strain data (144) are configured for use by a heuristic model (104) to increase an accuracy of output data generated by the heuristic model (104). A group of parameters (121) for the heuristic model (104) is adjusted using the training deformation data (142) and the training strain data (144) for the each training case in the plurality of training cases (136) such that the heuristic model (104) is trained to generate estimated deformation data (124) for the structure (108) based on input strain data (126). The estimated deformation data (124) has a desired level of accuracy. TRAIN A HEURISTIC MODEL TO GENERATE ESTIMATED 700 DEFORMATION DATA FOR A STRUCTURE WITH A DESIRED LEVEL OF ACCURACY BASED ON INPUT STRAIN DATA FOR THE STRUCTURE 702 IDENTIFY STRAIN DATA GENERATED BY A SENSOR SYSTEM ASSOCIATED WITH THE STRUCTURE DURING OPERATION OF THE PLATFORM GENERATE ESTIMATED DEFORMATION DATA FOR THE 704 STRUCTURE DURING OPERATION OF THE PLATFORM BASED ON THE STRAIN DATA GENERATED BY THE SENSOR SYSTEM ADJUST A GROUP OF CONTROL PARAMETERS FOR THE STRUCTURE USING THE ESTIMATED DEFORMATION DATA FOR 706 THE STRUCTURE TO INCREASE A PERFORMANCE OF THE STRUCTURE TO A DESIRED LEVEL OF PERFORMANCE ( END 800 IDENTIFY TRAINING DEFORMATION DATA FOR EACH TRAINING CASE IN A PLURALITY OF TRAINING CASES 802 IDENTIFY TRAINING STRAIN DATA FOR EACH TRAINING CASE IN THE PLURALITY OF TRAINING CASES ADJUST A GROUP OF PARAMETERS FOR THE HEURISTIC MODEL USING THE TRAINING DEFORMATION DATA AND THE TRAINING STRAIN DATA FOR EACH CASE IN THE PLURALITY 804 OF TRAINING CASES SUCH THAT THE HEURISTIC MODEL IS TRAINED TO GENERATE ESTIMATED DEFORMATION DATA FOR THE STRUCTURE WITH A DESIRED LEVEL OF ACCURACY BASED ON INPUT STRAIN DATA FOR THE STRUCTURE 900 SELECT A TRAINING CASE FROM FIG. 9 A PLURALITY OF TRAINING CASES DEFORM THE STRUCTURE SUCH 902 THAT THE STRUCTURE HAS THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE IDENTIFY TRAINING DEFORMATION 904 DATA FOR THE STRUCTURE HAVING THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE IDENTIFY TRAINING STRAIN DATA 906 FOR THE STRUCTURE HAVING THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE 908 SELECT ONE COMBINATION OF 908 STRAIN MEASUREMENTS FROM STORE THE SELECTED COMBINATION THE TRAINING STRAIN DATA OF STRAIN MEASUREMENTS, THE CORRESPONDING USE THE SELECTED COMBINATION COMBINATION OF DEFORMATION OF STRAIN MEASUREMENTS AND A MEASUREMENTS, AND THE VALUES CORRESPONDING COMBINATION OF FOR THE GROUP OF PARAMETERS 910 DEFORMATION MEASUREMENTS IN THE TRAINING DEFORMATION DATA TO TRAIN THE HEURISTIC MODEL ARE afUNPROCESSED YES INPUT THE SELECTED COMBINATIONS OF STRAIN COMBINATION OF STRAIN MEASUREMENTS 912-/ MEASUREMENTS INTO THE PRESENT? HEURISTIC MODEL TO GENERATE 920 ESTIMATED DEFORMATION DATA NO THE ESTIMATED ADDITIONAL DEFORMATION DATA YES TRAINING CASES PRESENT YES HAVE A DESIRED LEVEL IN THE PLURALITY OF ACCURACY OF TRAINING 914 ? CASES? ADJUST THE GROUP OF PARAMETERS NO FOR THE HEURISTIC MODEL 916 END IDENTIFY THE ESTIMATED DEFORMATION DATA GENERATED BY 1000 THE HEURISTIC MODEL BASED ON EACH SELECTED COMBINATION OF STRAIN MEASUREMENTS FOR EACH TRAINING CASE IN THE PLURALITY OF TRAINING CASES FOR THE HEURISTIC MODEL USE THE ESTIMATED DEFORMATION DATA GENERATED BASED ON 1002 EACH SELECTED COMBINATION OF STRAIN MEASUREMENTS FOR EACH TRAINING CASE IN THE PLURALITY OF TRAINING CASES TO ADJUST A GROUP OF CONTROL PARAMETERS FOR THE STRWCTURE IDENTIFY THE COMBINATION OF STRAIN MEASUREMENTS WITH THE MINIMUM NUMBER OF STRAIN MEASUREMENTS NEEDED FOR THE HEURISTIC MODEL TO GENERATE ESTIMATED DEFORMATION DATA 1004 FOR THE STRUCTURE WITH THE LEVEL OF ACCURACY NEEDED TO PROVIDE A DESIRED LEVEL OF PERFORMANCE FOR THE STRUCTURE WHEN THE ESTIMATED DEFORMATION DATA IS USED TO ADJUST THE GROUP OF CONTROL PARAMETERS FOR THE STRUCTURE ( END10</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>MEASURING</subject><subject>MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER,MECHANICAL EFFICIENCY, OR FLUID PRESSURE</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2013</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD2TS3JyE9RSMwD4oKCxKLEktJihbT8IoXMlNS8ksy0ysy8dIXikqLS5JLSosQchZRUoGRuYklmfh4PA2taYk5xKi-U5mZQdnMNcfbQTS3Ij08tLkhMTs1LLYl3DDUyMDQ2MjAwNDd0NDQmThUAq9Iwyw</recordid><startdate>20130926</startdate><enddate>20130926</enddate><creator>GORDON III, CLARENCE L</creator><creator>URCIA JR., MANNY SALAZAR</creator><creator>DAVIS, CHRISTOPHER LEE</creator><creator>KEARNS, JUSTIN D</creator><scope>EVB</scope></search><sort><creationdate>20130926</creationdate><title>Method and apparatus for identifying structural deformation</title><author>GORDON III, CLARENCE L ; URCIA JR., MANNY SALAZAR ; DAVIS, CHRISTOPHER LEE ; KEARNS, JUSTIN D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_AU2013200171A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2013</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>MEASURING</topic><topic>MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER,MECHANICAL EFFICIENCY, OR FLUID PRESSURE</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>GORDON III, CLARENCE L</creatorcontrib><creatorcontrib>URCIA JR., MANNY SALAZAR</creatorcontrib><creatorcontrib>DAVIS, CHRISTOPHER LEE</creatorcontrib><creatorcontrib>KEARNS, JUSTIN D</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GORDON III, CLARENCE L</au><au>URCIA JR., MANNY SALAZAR</au><au>DAVIS, CHRISTOPHER LEE</au><au>KEARNS, JUSTIN D</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and apparatus for identifying structural deformation</title><date>2013-09-26</date><risdate>2013</risdate><abstract>METHOD AND APPARATUS FOR IDENTIFYING STRUCTURAL DEFORMATION A method and apparatus for identifying deformation of a structure (108). Training deformation data (142) is identified for each training case in a plurality of training cases (136). Training strain data (144) is identified for each training case in the plurality of training cases (136). The training deformation data (142) and the training strain data (144) are configured for use by a heuristic model (104) to increase an accuracy of output data generated by the heuristic model (104). A group of parameters (121) for the heuristic model (104) is adjusted using the training deformation data (142) and the training strain data (144) for the each training case in the plurality of training cases (136) such that the heuristic model (104) is trained to generate estimated deformation data (124) for the structure (108) based on input strain data (126). The estimated deformation data (124) has a desired level of accuracy. TRAIN A HEURISTIC MODEL TO GENERATE ESTIMATED 700 DEFORMATION DATA FOR A STRUCTURE WITH A DESIRED LEVEL OF ACCURACY BASED ON INPUT STRAIN DATA FOR THE STRUCTURE 702 IDENTIFY STRAIN DATA GENERATED BY A SENSOR SYSTEM ASSOCIATED WITH THE STRUCTURE DURING OPERATION OF THE PLATFORM GENERATE ESTIMATED DEFORMATION DATA FOR THE 704 STRUCTURE DURING OPERATION OF THE PLATFORM BASED ON THE STRAIN DATA GENERATED BY THE SENSOR SYSTEM ADJUST A GROUP OF CONTROL PARAMETERS FOR THE STRUCTURE USING THE ESTIMATED DEFORMATION DATA FOR 706 THE STRUCTURE TO INCREASE A PERFORMANCE OF THE STRUCTURE TO A DESIRED LEVEL OF PERFORMANCE ( END 800 IDENTIFY TRAINING DEFORMATION DATA FOR EACH TRAINING CASE IN A PLURALITY OF TRAINING CASES 802 IDENTIFY TRAINING STRAIN DATA FOR EACH TRAINING CASE IN THE PLURALITY OF TRAINING CASES ADJUST A GROUP OF PARAMETERS FOR THE HEURISTIC MODEL USING THE TRAINING DEFORMATION DATA AND THE TRAINING STRAIN DATA FOR EACH CASE IN THE PLURALITY 804 OF TRAINING CASES SUCH THAT THE HEURISTIC MODEL IS TRAINED TO GENERATE ESTIMATED DEFORMATION DATA FOR THE STRUCTURE WITH A DESIRED LEVEL OF ACCURACY BASED ON INPUT STRAIN DATA FOR THE STRUCTURE 900 SELECT A TRAINING CASE FROM FIG. 9 A PLURALITY OF TRAINING CASES DEFORM THE STRUCTURE SUCH 902 THAT THE STRUCTURE HAS THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE IDENTIFY TRAINING DEFORMATION 904 DATA FOR THE STRUCTURE HAVING THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE IDENTIFY TRAINING STRAIN DATA 906 FOR THE STRUCTURE HAVING THE DEFORMED SHAPE SPECIFIED BY THE SELECTED TRAINING CASE 908 SELECT ONE COMBINATION OF 908 STRAIN MEASUREMENTS FROM STORE THE SELECTED COMBINATION THE TRAINING STRAIN DATA OF STRAIN MEASUREMENTS, THE CORRESPONDING USE THE SELECTED COMBINATION COMBINATION OF DEFORMATION OF STRAIN MEASUREMENTS AND A MEASUREMENTS, AND THE VALUES CORRESPONDING COMBINATION OF FOR THE GROUP OF PARAMETERS 910 DEFORMATION MEASUREMENTS IN THE TRAINING DEFORMATION DATA TO TRAIN THE HEURISTIC MODEL ARE afUNPROCESSED YES INPUT THE SELECTED COMBINATIONS OF STRAIN COMBINATION OF STRAIN MEASUREMENTS 912-/ MEASUREMENTS INTO THE PRESENT? HEURISTIC MODEL TO GENERATE 920 ESTIMATED DEFORMATION DATA NO THE ESTIMATED ADDITIONAL DEFORMATION DATA YES TRAINING CASES PRESENT YES HAVE A DESIRED LEVEL IN THE PLURALITY OF ACCURACY OF TRAINING 914 ? CASES? ADJUST THE GROUP OF PARAMETERS NO FOR THE HEURISTIC MODEL 916 END IDENTIFY THE ESTIMATED DEFORMATION DATA GENERATED BY 1000 THE HEURISTIC MODEL BASED ON EACH SELECTED COMBINATION OF STRAIN MEASUREMENTS FOR EACH TRAINING CASE IN THE PLURALITY OF TRAINING CASES FOR THE HEURISTIC MODEL USE THE ESTIMATED DEFORMATION DATA GENERATED BASED ON 1002 EACH SELECTED COMBINATION OF STRAIN MEASUREMENTS FOR EACH TRAINING CASE IN THE PLURALITY OF TRAINING CASES TO ADJUST A GROUP OF CONTROL PARAMETERS FOR THE STRWCTURE IDENTIFY THE COMBINATION OF STRAIN MEASUREMENTS WITH THE MINIMUM NUMBER OF STRAIN MEASUREMENTS NEEDED FOR THE HEURISTIC MODEL TO GENERATE ESTIMATED DEFORMATION DATA 1004 FOR THE STRUCTURE WITH THE LEVEL OF ACCURACY NEEDED TO PROVIDE A DESIRED LEVEL OF PERFORMANCE FOR THE STRUCTURE WHEN THE ESTIMATED DEFORMATION DATA IS USED TO ADJUST THE GROUP OF CONTROL PARAMETERS FOR THE STRUCTURE ( END10</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING MEASURING MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER,MECHANICAL EFFICIENCY, OR FLUID PRESSURE PHYSICS TESTING |
| title | Method and apparatus for identifying structural deformation |
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